Samsung Life (Korea) Probability of Future Stock Price Finishing Under 104292.0
| 032830 Stock | 106,500 1,900 1.82% |
Samsung |
Samsung Life Target Price Odds to finish below 104292.0
The tendency of Samsung Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to drop to 104,292 or more in 90 days |
| 106,500 | 90 days | 104,292 | about 90.26 |
Based on a normal probability distribution, the odds of Samsung Life to drop to 104,292 or more in 90 days from now is about 90.26 (This Samsung Life Insurance probability density function shows the probability of Samsung Stock to fall within a particular range of prices over 90 days) . Probability of Samsung Life Insurance price to stay between 104,292 and its current price of 106500.0 at the end of the 90-day period is about 6.26 .
Assuming the 90 days trading horizon Samsung Life has a beta of 0.0055. This suggests as returns on the market go up, Samsung Life average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Samsung Life Insurance will be expected to be much smaller as well. Additionally Samsung Life Insurance has an alpha of 0.3041, implying that it can generate a 0.3 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Samsung Life Price Density |
| Price |
Predictive Modules for Samsung Life
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Samsung Life Insurance. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Samsung Life Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Samsung Life is not an exception. The market had few large corrections towards the Samsung Life's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Samsung Life Insurance, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Samsung Life within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.30 | |
β | Beta against Dow Jones | 0.01 | |
σ | Overall volatility | 4,185 | |
Ir | Information ratio | 0.08 |
Samsung Life Technical Analysis
Samsung Life's future price can be derived by breaking down and analyzing its technical indicators over time. Samsung Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Samsung Life Insurance. In general, you should focus on analyzing Samsung Stock price patterns and their correlations with different microeconomic environments and drivers.
Samsung Life Predictive Forecast Models
Samsung Life's time-series forecasting models is one of many Samsung Life's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Samsung Life's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Samsung Life in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Samsung Life's short interest history, or implied volatility extrapolated from Samsung Life options trading.
Other Information on Investing in Samsung Stock
Samsung Life financial ratios help investors to determine whether Samsung Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Samsung with respect to the benefits of owning Samsung Life security.